5G  Networks  and  High-­‐Efficiency  Device  Posi;oning:  Enabling  Techniques,  Demonstra;on  and  Ver;cals

•  Network  densifica0on  and  high  bandwidth  allows  accurate  UE  posi0oning  

•  Use  the  expensive  5G  investment  to  get  posi0oning  “for  free”  

•  1-­‐2  orders  of  magnitude  beDer  dyamic  accuracy  than  GPS,  with  1-­‐2  orders  of  magnitude  lower  power  consump0on  in  the  UE  

•  Advantages  •  Proac0ve  mobility  management  and  RRM  in  5G  radio  network  (,  UE  

tracking  and  movement  predic3on)  •  Self-­‐driving  cars,  robots  benefit  from  accurate  posi0on  info  •  Indoor  posi0oning  •  Augmented  reality  •  IoT  device  posi0oning,logis0cs..  

•  Implementa0on  based  on  •  TDD  MU-­‐MIMO  system  •  Data  fusion  over  mul0ple  measurement  points  •  ToA/TDoA  &  DoA  measurements  based  on  UL  beacons  (~SRS)    

 

Clock model+

UN movement model

Time-of-arrival (ToA) estimates

Direction-of-arrival (DoA) estimates

Extended Kalman filter (EKF)

UN position estimates

UN clock offset estimates

Joint  User  Node  Posi3oning  and  Clock  Offset  Es3ma3on  in  5G  Ultra-­‐Dense  Networks:    hDp://www.tut.fi/5G/posi0oning/media.html    

C-­‐UDN  Frame  structrue    

C-­‐UDN  concept  

Kari  Leppänen,  Huawei      Kari.Leppanen@huawei.com  Riku  Jän],  Aalto  University    riku.jan]@aalto.fi  Mikko  Valkama,  Tampere  University  of  Technology  mikko.e.valkama@tut.fi    

5G  Networks  and  High-­‐Efficiency  Device  Posi;oning:  Enabling  Techniques,  Demonstra;on  and  Ver;cals •  C-­‐UDN  test-­‐bed  l  4 Access Node (AN) sites l  4 – 8 antennas per AN

-  Linux server operates as BS

l  1 antenna in mobile l  Constructed of USRP + PC

-  Comm. stack in C++ -  TDD implemented by using USRP switch

between Tx - Rx chains (not circulator) l  Transmission

-  Frequency license 3.41 – 3.43 GHz -  Sampling rate 15.36 MHz -  5 micro sec OFDM symbol length

l  easy to test also for different values  

UN

AN1

AN2

AN3

AN4

8  antenna  array  

AN  &  UN  C-­‐UDN  test-­‐bed  architecture  

5G  Networks  and  High-­‐Efficiency  Device  Posi;oning:  Enabling  Techniques,  Demonstra;on  and  Ver;cals •  Tes0ng  environment  for  ver0cals  

•  Otaniemi  –  sub-­‐urban  area  •  Ruoholah0  –  urban  area  

•  Ver0cals  •  TA7:  5G  for  Future  MTC  solu0ons:  

•  Device  localiza0on,  energy  efficiency  through  UE  beacon  based  signaling  

•  TA20:    Open  Porgolio  Target  Ac0on  •  Ver0cals  benefi]ng  from  accurate  localiza0on    

and  low  latency  •  V2X,  Factories  of  the  future,  e-­‐health,…  

   

Otaniemi  test-­‐site  (sub-­‐urban  /    industrial)  

Ruoholah3  test-­‐site  (urban)  

V2X  

Facories  of  the  future:  Aalto  Industrial  Internet  Campus    hDp://aiic.aalto.fi/en/  

Example  ver0cals   Test  sites  

• Mul0disciplinary  and  open  research  plagorm  for  inves0ga0on  and  experimental  evalua0on  of  innova0ve  ideas  in  networking  and  services  of  5G.    

•  A  common  shared  testbed  for  tes0ng  and  valida0on  of  5G  network  func0ons:  

•  Network  virtualiza0on  and  cloud  technologies  •  Virtualized  EPC  with  network  slicing  

•  Novel  RAN    solu0ons  &  virtualiza0on  •  Con$nuous  Ultra  Dense  Network  (C-­‐UDN)  •  Cloud-­‐RAN  (LTE)  •  NB-­‐IOT  

•  Services  that  require  network  responsiveness  and  end  user  experience.    

•  Cybersecurity,  end  to  end  security  and  trust  in  5G    

Take-­‐5  testbed  in  Espoo,  Finland  –  part  of  5GTNF

User Equipment

(UE)

Mobility Management Entity (MME)

Home Subscriber Server (HSS)

SDN Control

S/P-GW Control

Policy Control and Charging Rules

Function (PCRF)

Data Plane

Control Plane

))))))))

S1-MME

SDN

SDN capable Backhaul

Virtualized EPC including S/P-GW control

User Equipment

(UE)))))))))

SDN

Station (eNodeB)

Base

WiFI SDN AP

INTERNETIP RouterNAT

Nokia

VTT

Coriant

EXFO

Monitoring

AALTO

AALTO

Nokia

hDp://5gtnf.fi/  hDp://take-­‐5g.org/